{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import torch\n",
    "from torch import nn\n",
    "import torch.nn.functional as F\n",
    "from IPython.core.debugger import set_trace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "绿色：卷积层  \n",
    "紫色：残差块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=485x943 at 0x7FA43C8600B8>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image.open('FusionNet.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "import torch\n",
    "\n",
    "\n",
    "def conv_block(in_dim,out_dim,act_fn,stride=1):\n",
    "    model = nn.Sequential(\n",
    "        nn.Conv2d(in_dim, out_dim, kernel_size=3, stride=stride, padding=1),\n",
    "        nn.BatchNorm2d(out_dim),\n",
    "        act_fn,\n",
    "    )\n",
    "    return model\n",
    "\n",
    "\n",
    "def conv_trans_block(in_dim,out_dim,act_fn):\n",
    "    model = nn.Sequential(\n",
    "        nn.ConvTranspose2d(in_dim,out_dim, kernel_size=3, stride=2, padding=1,output_padding=1),\n",
    "        nn.BatchNorm2d(out_dim),\n",
    "        act_fn,\n",
    "    )\n",
    "    return model\n",
    "\n",
    "\n",
    "def conv_block_3(in_dim,out_dim,act_fn):\n",
    "    model = nn.Sequential(\n",
    "        conv_block(in_dim,out_dim,act_fn),\n",
    "        conv_block(out_dim,out_dim,act_fn),\n",
    "        nn.Conv2d(out_dim,out_dim, kernel_size=3, stride=1, padding=1),\n",
    "        nn.BatchNorm2d(out_dim),\n",
    "    )\n",
    "    return model\n",
    "\n",
    "\n",
    "class Conv_residual_conv(nn.Module):\n",
    "    def __init__(self, in_dim, out_dim, act_fn):\n",
    "        super(Conv_residual_conv, self).__init__()\n",
    "        self.in_dim = in_dim\n",
    "        self.out_dim = out_dim\n",
    "        act_fn = act_fn\n",
    "\n",
    "        self.conv_1 = conv_block(self.in_dim, self.out_dim, act_fn)\n",
    "        self.conv_2 = conv_block_3(self.out_dim, self.out_dim, act_fn)\n",
    "        self.conv_3 = conv_block(self.out_dim, self.out_dim, act_fn)\n",
    "\n",
    "    def forward(self, input):\n",
    "        conv_1 = self.conv_1(input)\n",
    "        conv_2 = self.conv_2(conv_1)\n",
    "        res = conv_1 + conv_2\n",
    "        conv_3 = self.conv_3(res)\n",
    "        \n",
    "        return conv_3\n",
    "\n",
    "\n",
    "class Fusionnet(nn.Module):\n",
    "\n",
    "    def __init__(self, input_nc, output_nc, ngf, out_clamp=None):\n",
    "        super(Fusionnet, self).__init__()\n",
    "\n",
    "        self.out_clamp = out_clamp\n",
    "        self.in_dim = input_nc\n",
    "        self.out_dim = ngf\n",
    "        self.final_out_dim = output_nc\n",
    "\n",
    "        act_fn = nn.LeakyReLU(0.2, inplace=True)\n",
    "        act_fn_2 = nn.ELU(inplace=True)\n",
    "\n",
    "        # encoder\n",
    "        self.down_1 = Conv_residual_conv(self.in_dim, self.out_dim, act_fn)\n",
    "        self.pool_1 = conv_block(self.out_dim, self.out_dim, act_fn, 2)\n",
    "        self.down_2 = Conv_residual_conv(self.out_dim, self.out_dim * 2, act_fn)\n",
    "        self.pool_2 = conv_block(self.out_dim * 2, self.out_dim * 2, act_fn, 2)\n",
    "        self.down_3 = Conv_residual_conv(self.out_dim * 2, self.out_dim * 4, act_fn)\n",
    "        self.pool_3 = conv_block(self.out_dim * 4, self.out_dim * 4, act_fn, 2)\n",
    "        self.down_4 = Conv_residual_conv(self.out_dim * 4, self.out_dim * 8, act_fn)\n",
    "        self.pool_4 = conv_block(self.out_dim * 8, self.out_dim * 8, act_fn, 2)\n",
    "\n",
    "        # bridge\n",
    "        self.bridge = Conv_residual_conv(self.out_dim * 8, self.out_dim * 16, act_fn)\n",
    "\n",
    "        # decoder\n",
    "        self.deconv_1 = conv_trans_block(self.out_dim * 16, self.out_dim * 8, act_fn_2)\n",
    "        self.up_1 = Conv_residual_conv(self.out_dim * 8, self.out_dim * 8, act_fn_2)\n",
    "        self.deconv_2 = conv_trans_block(self.out_dim * 8, self.out_dim * 4, act_fn_2)\n",
    "        self.up_2 = Conv_residual_conv(self.out_dim * 4, self.out_dim * 4, act_fn_2)\n",
    "        self.deconv_3 = conv_trans_block(self.out_dim * 4, self.out_dim * 2, act_fn_2)\n",
    "        self.up_3 = Conv_residual_conv(self.out_dim * 2, self.out_dim * 2, act_fn_2)\n",
    "        self.deconv_4 = conv_trans_block(self.out_dim * 2, self.out_dim, act_fn_2)\n",
    "        self.up_4 = Conv_residual_conv(self.out_dim, self.out_dim, act_fn_2)\n",
    "\n",
    "        # output\n",
    "        self.out = nn.Conv2d(self.out_dim, self.final_out_dim, kernel_size=3, stride=1, padding=1)\n",
    "\n",
    "    def forward(self, input):\n",
    "        down_1 = self.down_1(input);print('down_1:', down_1.size())\n",
    "        pool_1 = self.pool_1(down_1);print('pool_1:', pool_1.size())\n",
    "        down_2 = self.down_2(pool_1);print('down_2:', down_2.size())\n",
    "        pool_2 = self.pool_2(down_2);print('pool_2:', pool_2.size())\n",
    "        down_3 = self.down_3(pool_2);print('down_3:', down_3.size())\n",
    "        pool_3 = self.pool_3(down_3);print('pool_3:', pool_3.size())\n",
    "        down_4 = self.down_4(pool_3);print('down_4:', down_4.size())\n",
    "        pool_4 = self.pool_4(down_4);print('pool_4:', pool_4.size())\n",
    "\n",
    "        bridge = self.bridge(pool_4);print('bridge:', bridge.size())\n",
    "\n",
    "        deconv_1 = self.deconv_1(bridge);print('deconv_1:', deconv_1.size())\n",
    "        skip_1 = (deconv_1 + down_4) / 2;print('skip_1:', skip_1.size())\n",
    "        up_1 = self.up_1(skip_1);print('up_1:', up_1.size())\n",
    "        deconv_2 = self.deconv_2(up_1);print('deconv_2:', deconv_2.size())\n",
    "        skip_2 = (deconv_2 + down_3) / 2;print('skip_2:', skip_2.size())\n",
    "        up_2 = self.up_2(skip_2);print('up_2:', up_2.size())\n",
    "        deconv_3 = self.deconv_3(up_2);print('deconv_3:', deconv_3.size())\n",
    "        skip_3 = (deconv_3 + down_2) / 2;print('skip_3:', skip_3.size())\n",
    "        up_3 = self.up_3(skip_3);print('up_3:', up_3.size())\n",
    "        deconv_4 = self.deconv_4(up_3);print('deconv_4:', deconv_4.size())\n",
    "        skip_4 = (deconv_4 + down_1) / 2;print('skip_4:', skip_4.size())\n",
    "        up_4 = self.up_4(skip_4);print('up_4:', up_4.size())\n",
    "\n",
    "        out = self.out(up_4);print('out:', out.size())\n",
    "\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 3, 352, 480])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = torch.rand((1, 3, 352, 480))\n",
    "image.size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "FusionNet = Fusionnet(3, 12, 64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "down_1: torch.Size([1, 64, 352, 480])\n",
      "pool_1: torch.Size([1, 64, 176, 240])\n",
      "down_2: torch.Size([1, 128, 176, 240])\n",
      "pool_2: torch.Size([1, 128, 88, 120])\n",
      "down_3: torch.Size([1, 256, 88, 120])\n",
      "pool_3: torch.Size([1, 256, 44, 60])\n",
      "down_4: torch.Size([1, 512, 44, 60])\n",
      "pool_4: torch.Size([1, 512, 22, 30])\n",
      "bridge: torch.Size([1, 1024, 22, 30])\n",
      "deconv_1: torch.Size([1, 512, 44, 60])\n",
      "skip_1: torch.Size([1, 512, 44, 60])\n",
      "up_1: torch.Size([1, 512, 44, 60])\n",
      "deconv_2: torch.Size([1, 256, 88, 120])\n",
      "skip_2: torch.Size([1, 256, 88, 120])\n",
      "up_2: torch.Size([1, 256, 88, 120])\n",
      "deconv_3: torch.Size([1, 128, 176, 240])\n",
      "skip_3: torch.Size([1, 128, 176, 240])\n",
      "up_3: torch.Size([1, 128, 176, 240])\n",
      "deconv_4: torch.Size([1, 64, 352, 480])\n",
      "skip_4: torch.Size([1, 64, 352, 480])\n",
      "up_4: torch.Size([1, 64, 352, 480])\n",
      "out: torch.Size([1, 12, 352, 480])\n"
     ]
    }
   ],
   "source": [
    "mask = FusionNet(image)"
   ]
  }
 ],
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